45f34156e4
Guestperf tool does not cover the multifd compression option
currently, it is worth supporting so that developers can
analysis the migration performance with different
compression algorithms.
Multifd support 4 compression algorithms currently:
zlib, zstd, qpl, uadk
To request that multifd with the specified compression
algorithm such as zlib:
$ ./tests/migration-stress/guestperf.py \
--multifd --multifd-channels 4 --multifd-compression zlib \
--output output.json
To run the entire standardized set of multifd compression
comparisons, with unix migration:
$ ./tests/migration-stress/guestperf-batch.py \
--dst-host localhost --transport unix \
--filter compr-multifd-compression* --output outputdir
Signed-off-by: Hyman Huang <yong.huang@smartx.com>
Reviewed-by: Daniel P. Berrangé <berrange@redhat.com>
Message-ID: <c0e3313d81e8130f8119ef4f242e4625886278cf.1739530098.git.yong.huang@smartx.com>
Signed-off-by: Fabiano Rosas <farosas@suse.de>
175 lines
6.6 KiB
Python
175 lines
6.6 KiB
Python
#
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# Migration test scenario comparison mapping
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#
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# Copyright (c) 2016 Red Hat, Inc.
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#
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# This library is free software; you can redistribute it and/or
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# modify it under the terms of the GNU Lesser General Public
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# License as published by the Free Software Foundation; either
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# version 2.1 of the License, or (at your option) any later version.
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#
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# This library is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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# Lesser General Public License for more details.
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#
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# You should have received a copy of the GNU Lesser General Public
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# License along with this library; if not, see <http://www.gnu.org/licenses/>.
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#
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from guestperf.scenario import Scenario
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class Comparison(object):
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def __init__(self, name, scenarios):
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self._name = name
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self._scenarios = scenarios
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COMPARISONS = [
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# Looking at effect of pausing guest during migration
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# at various stages of iteration over RAM
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Comparison("pause-iters", scenarios = [
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Scenario("pause-iters-0",
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pause=True, pause_iters=0),
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Scenario("pause-iters-1",
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pause=True, pause_iters=1),
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Scenario("pause-iters-5",
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pause=True, pause_iters=5),
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Scenario("pause-iters-20",
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pause=True, pause_iters=20),
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]),
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# Looking at use of post-copy in relation to bandwidth
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# available for migration
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Comparison("post-copy-bandwidth", scenarios = [
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Scenario("post-copy-bw-100mbs",
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post_copy=True, bandwidth=12),
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Scenario("post-copy-bw-300mbs",
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post_copy=True, bandwidth=37),
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Scenario("post-copy-bw-1gbs",
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post_copy=True, bandwidth=125),
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Scenario("post-copy-bw-10gbs",
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post_copy=True, bandwidth=1250),
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Scenario("post-copy-bw-100gbs",
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post_copy=True, bandwidth=12500),
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]),
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# Looking at effect of starting post-copy at different
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# stages of the migration
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Comparison("post-copy-iters", scenarios = [
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Scenario("post-copy-iters-0",
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post_copy=True, post_copy_iters=0),
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Scenario("post-copy-iters-1",
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post_copy=True, post_copy_iters=1),
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Scenario("post-copy-iters-5",
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post_copy=True, post_copy_iters=5),
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Scenario("post-copy-iters-20",
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post_copy=True, post_copy_iters=20),
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]),
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# Looking at effect of auto-converge with different
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# throttling percentage step rates
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Comparison("auto-converge-iters", scenarios = [
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Scenario("auto-converge-step-5",
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auto_converge=True, auto_converge_step=5),
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Scenario("auto-converge-step-10",
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auto_converge=True, auto_converge_step=10),
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Scenario("auto-converge-step-20",
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auto_converge=True, auto_converge_step=20),
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]),
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# Looking at use of auto-converge in relation to bandwidth
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# available for migration
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Comparison("auto-converge-bandwidth", scenarios = [
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Scenario("auto-converge-bw-100mbs",
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auto_converge=True, bandwidth=12),
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Scenario("auto-converge-bw-300mbs",
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auto_converge=True, bandwidth=37),
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Scenario("auto-converge-bw-1gbs",
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auto_converge=True, bandwidth=125),
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Scenario("auto-converge-bw-10gbs",
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auto_converge=True, bandwidth=1250),
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Scenario("auto-converge-bw-100gbs",
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auto_converge=True, bandwidth=12500),
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]),
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# Looking at effect of multi-thread compression with
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# varying numbers of threads
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Comparison("compr-mt", scenarios = [
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Scenario("compr-mt-threads-1",
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compression_mt=True, compression_mt_threads=1),
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Scenario("compr-mt-threads-2",
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compression_mt=True, compression_mt_threads=2),
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Scenario("compr-mt-threads-4",
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compression_mt=True, compression_mt_threads=4),
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]),
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# Looking at effect of xbzrle compression with varying
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# cache sizes
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Comparison("compr-xbzrle", scenarios = [
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Scenario("compr-xbzrle-cache-5",
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compression_xbzrle=True, compression_xbzrle_cache=5),
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Scenario("compr-xbzrle-cache-10",
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compression_xbzrle=True, compression_xbzrle_cache=10),
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Scenario("compr-xbzrle-cache-20",
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compression_xbzrle=True, compression_xbzrle_cache=10),
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Scenario("compr-xbzrle-cache-50",
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compression_xbzrle=True, compression_xbzrle_cache=50),
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]),
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# Looking at effect of multifd with
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# varying numbers of channels
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Comparison("compr-multifd", scenarios = [
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Scenario("compr-multifd-channels-4",
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multifd=True, multifd_channels=4),
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Scenario("compr-multifd-channels-8",
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multifd=True, multifd_channels=8),
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Scenario("compr-multifd-channels-32",
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multifd=True, multifd_channels=32),
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Scenario("compr-multifd-channels-64",
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multifd=True, multifd_channels=64),
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]),
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# Looking at effect of dirty-limit with
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# varying x_vcpu_dirty_limit_period
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Comparison("compr-dirty-limit-period", scenarios = [
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Scenario("compr-dirty-limit-period-500",
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dirty_limit=True, x_vcpu_dirty_limit_period=500),
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Scenario("compr-dirty-limit-period-800",
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dirty_limit=True, x_vcpu_dirty_limit_period=800),
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Scenario("compr-dirty-limit-period-1000",
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dirty_limit=True, x_vcpu_dirty_limit_period=1000),
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]),
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# Looking at effect of dirty-limit with
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# varying vcpu_dirty_limit
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Comparison("compr-dirty-limit", scenarios = [
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Scenario("compr-dirty-limit-10MB",
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dirty_limit=True, vcpu_dirty_limit=10),
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Scenario("compr-dirty-limit-20MB",
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dirty_limit=True, vcpu_dirty_limit=20),
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Scenario("compr-dirty-limit-50MB",
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dirty_limit=True, vcpu_dirty_limit=50),
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]),
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# Looking at effect of multifd with
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# different compression algorithms
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Comparison("compr-multifd-compression", scenarios = [
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Scenario("compr-multifd-compression-zlib",
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multifd=True, multifd_channels=2, multifd_compression="zlib"),
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Scenario("compr-multifd-compression-zstd",
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multifd=True, multifd_channels=2, multifd_compression="zstd"),
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Scenario("compr-multifd-compression-qpl",
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multifd=True, multifd_channels=2, multifd_compression="qpl"),
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Scenario("compr-multifd-compression-uadk",
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multifd=True, multifd_channels=2, multifd_compression="uadk"),
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]),
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]
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